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Optimizing LED Road Luminaires: A Study on Thermal Stabilization and Potential Electricity Savings

The study was conducted to determine the changes in electrical parameters and luminous flux during the process of stabilizing thermal conditions of road luminaires made in LED technology.

Published by LED professional ·

Optimizing LED Road Luminaires: A Study on Thermal Stabilization and Potential Electricity Savings

The research is based on the knowledge derived from the measurement data, and the structure of the model depends on factors such as the response of the real object, the capabilities of the tools used for identification, and the experience of the investigator. The input signal of the model is the active power of the luminaire and the output signal is the luminous flux. The choice of the model structure is dictated by the knowledge of physical phenomena involved in the operation of the analyzed object

The results of the investigation showed changes in electrical parameters and luminous flux during the process of stabilizing thermal conditions of road luminaires made in LED technology. The short-term luminous flux depreciation phenomenon has a different pattern for each luminaire, leading to different forms of mathematical models. The results of estimating the potential electricity savings from reducing short-term luminous flux depreciation were also presented. It was found that the annual electricity savings achieved are small for a single luminaire. However, the study also showed that using a control system reduced electricity consumption by 13.5%.

Study Details:

  • Title: "Using identification method to modelling short term luminous flux depreciation of LED luminaire to reducing electricity consumption"
  • Authors: Roman Sikora, Przemysław Markiewicz, Ewa Korzeniewska
  • Affiliation: Institute of Electrical Power Engineering, Lodz University of Technology, Lodz, Poland and Institute of Electrical Engineering Systems, Lodz University of Technology, Lodz, Poland
  • Published in: Scientific Reports, 2023, Volume 13, Article number 673
  • DOI: https://doi.org/10.1038/s41598-023-27925-5

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